Jianming Feng , Tianling Qin , Xizhi Lv , Shanshan Liu , Jie Wen , Juan Chen
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引用次数: 0
Abstract
Under global warming, the Yellow River Basin (YRB), serving as an ecological barrier and climate-sensitive region in northern China, faces severe challenges such as frequent extreme droughts and floods, as well as intensifying water resource supply–demand conflicts. To systematically assess the evolution of droughts and floods in the YRB, this study utilizes observational data from 137 meteorological stations and CMIP6 scenario models, employing the dual-index system of the Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) to quantitatively analyze historical drought and flood characteristics, and project future trends under different scenarios. The results indicate that both SPI and SPEI effectively identify drought and flood events, with SPEI demonstrating superior sensitivity to extreme droughts and floods due to its integration of evapotranspiration effects. From 1956 to 2020, the basin’s drought index increased at a rate of 0.003–0.025 per decade, while the flood index changed at a rate of −0.006–0.039 per decade. Droughts were frequent in the middle and upper reaches (30.61 % severe droughts), while flood risks were prominent in the lower reaches (6.25 % extreme floods). Under SSP3-7.0 and SSP5-8.5 scenarios, drought-dominated patterns intensified (severe droughts reaching 62.92 %), and extreme floods showed an increasing trend in the middle and lower reaches. Therefore, the middle and upper reaches should prioritize building drought-resilience systems; the southern and lower reaches should enhance flood-defense infrastructure. Reservoir operations should be optimized using 1–6 months of drought and flood warnings and coupled with groundwater replenishment strategies for 12–24 months of drought cycles.
期刊介绍:
The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.